Alexis Boukouvalas
Research Engineering Team Lead at DeepMind
Cambridge, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAlexis Boukouvalas is a Research Engineering Team Lead at DeepMind with a decade of experience applying probabilistic modelling and scalable ML to real-world problems across industry and academia. With a PhD in Statistics and Information Engineering, he has led teams building autonomous decision-making platforms and supply-chain optimization systems, and earlier developed statistical methods for single-cell sequencing. He brings hands-on research engineering chops—evidenced by contributions like implementing a PeriodicKernel in the GPflow TensorFlow library—to bridge state-of-the-art Gaussian process methods and production ML. Comfortable leading at scale, Alexis combines academic rigor with product-minded delivery from roles at DeepMind, Amazon, PROWLER.io and Microsoft. Notably, his background spans both foundational research and applied systems, enabling rapid translation of probabilistic models into robust, production-ready solutions.
10 years of coding experience
11 years of employment as a software developer
BSc, Computer Science, BSc, Computer Science at Newcastle UniversityPhD, Statistics and information Engineering, PhD, Statistics and information Engineering at Aston University
Github Skills (7)
machine-learning10
tensorflow10
python10
ml10
gpflow10
gaussian-processes10
testing9
Programming languages (2)
Github contributions (5)
GPflow/GPflow
May 2016 - Aug 2017
Gaussian processes in TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:57 commits, 14 PRs, 63 pushes in 1 year 2 months
Contributions summary:Alexis implemented and tested a periodic kernel within the GPflow framework, adding new functionality for modeling periodic functions in Gaussian processes. The commits include the addition of the `PeriodicKernel` class, which involved defining the kernel's mathematical formulation and its implementation in TensorFlow. They also added a test suite to ensure the correctness of the new kernel implementation.
information-theorygpflowdeep-learningmachine-learningmarkov-chain-monte-carlo
alexisboukouvalas/single-cell-reading-group
Oct 2015 - Feb 2017
Contributions:36 commits, 35 pushes, 1 branch in 1 year 4 months
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